erwin

MAY 7, 2020

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. The Value of Data Architecture. Data Architecture and Data Modeling.

Data Architecture 131

Data Architecture Enterprise Modeling Sales 131

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse.

Data Architecture 78

Data Architecture Data Lake Metadata Data Warehouse 78

Data Virtualization

OCTOBER 5, 2022

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Data Lake 52

Data Lake Data Architecture Data Integration Management 52

Data Virtualization

DECEMBER 2, 2021

Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Data Architecture 52

Data Architecture Data Governance Technology Management 52

Data Virtualization

DECEMBER 2, 2021

Practically overnight, organizations have been forced to adapt by modernizing their data architectures to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Data Architecture 52

Data Architecture Data Governance Technology Management 52

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. First, we describe how data mesh and data fabric could be related.

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74

Cloudera

SEPTEMBER 26, 2023

Learn more about how you can benefit from a well-supported data management platform and ecosystem of products, services and support by visiting the IBM and Cloudera partnership page. The post IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka appeared first on Cloudera Blog.

Technology 92

Technology IT Data-driven Data Architecture 92

Ontotext

FEBRUARY 26, 2024

But until they connect the dots across their data, they will stay in this stage. This is where graph technologies come in. They allow you to connect the dots across your data and progress on the spectrum toward knowledge, insight, and wisdom. Becoming data-driven will also be slow and costly.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 60

Data Architecture Data Lake Machine Learning Data Governance 60

Cloudera

JULY 29, 2022

Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”. This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. The proof is in the pudding.

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. appeared first on Cloudera Blog. Let’s dive deeper.

Data Architecture 96

Data Architecture Data Governance Unstructured Data Structured Data 96

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

Octopai

APRIL 19, 2021

Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. She tweets and retweets about topics such as data governance, data strategy, and data architecture. Forbes Technology Council. TDWI – David Loshin. IRM UK Connects. Dataconomy.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

IBM Big Data Hub

JUNE 8, 2023

However, many of these organizations lack a clear pathway to realizing their goals and 41% of surveyed executives cite inadequate data as their biggest obstacle to ESG progress. Technology, when harnessed effectively, can provide innovative solutions such as those that help to protect and restore reefs.

Technology 78

Technology Measurement Cost-Benefit Data-driven 78

Data Virtualization

SEPTEMBER 21, 2023

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle.

Management 105

Management Data Architecture Data Integration IT 105

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time. The Iceberg community is deeply important to us at Cloudera.

Data Architecture 101

Data Architecture Data Governance Big Data Marketing 101

Cloudera

APRIL 11, 2024

They open doors to new ideas, technologies, and market trends, propelling the development of cutting-edge solutions. Working in partner marketing aligns with my passion for technology and startups, offering opportunities for autonomy, innovation, and rapid learning and growth. Learn more about partnering with Cloudera here.

Data Architecture 88

Data Architecture Marketing Strategy Sales 88

DataKitchen

MAY 10, 2021

The following resources will help you understand DataOps principles and how to get started: Blog: For Data Team Success, What You Do is Less Important Than How You Do It. Blog: What is DataOps ? White Paper: DataOps is Not Just DevOps for Data . Blog: 4 Easy Ways to Start DataOps Today.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

TDAN

FEBRUARY 16, 2021

While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. With the new year events well behind us, we’re steadily focused on moving forward in 2021. Given that, let’s consider what I believe will be some […].

Technology 145

Technology Optimization Management Data Architecture 145

TDAN

OCTOBER 3, 2023

The Internet of Things (IoT) technology has taken the world by storm. From smart homes and wearables to connected cars and fitness trackers, IoT devices are becoming prevalent across various industries and aspects of daily life. There are approximately 15.14

IoT 52

IoT Internet of Things Technology Data Architecture 52

Data Virtualization

DECEMBER 21, 2023

Reading Time: 2 minutes Data mesh is a modern, distributed data architecture in which different domain based data products are owned by different groups within an organization. And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve.

Data Governance 59

Data Governance Data Architecture Data Integration Management 59

Cloudera

FEBRUARY 2, 2024

The holistic approach brings a simplicity to the architecture that helps organizations achieve massive scale. The takeaway is that any organization evaluating streaming technology should be talking to Cloudera if they haven’t already!

Data Architecture 100

Data Architecture Enterprise Marketing Technology 100

Ontotext

JULY 26, 2019

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? Not surprisingly, everyone seems to have or want to have a knowledge graph.

Technology 75

Technology Enterprise Data Integration Management 75

DataKitchen

SEPTEMBER 17, 2021

It would be incredibly inefficient to build a data mesh without automation. DataOps focuses on automating data analytics workflows to enable rapid innovation with low error rates. It also engenders collaboration across complex sets of people, technology, and environments. Conclusion.

Testing 237

Testing Data Architecture Measurement Enterprise 237

IBM Big Data Hub

MARCH 7, 2023

Innocens also involved doctors in the development process of building the user interface and respected the privacy and confidentiality of the anonymous historical patient data used to train the model within a robust data architecture.

Risk 52

Risk Technology Informatics Predictive Modeling 52

Cloudera

MAY 30, 2024

Key use cases include customer journey/customer 360, regulatory compliance, financial crime prevention, risk management, market risk, credit risk, liquidity risk, operational risk, systemic risk, climate risk, intraday risk management, finance, integrated risk and finance view, treasury management, advanced analytics, and emerging technology.

Data Analytics 71

Data Analytics Risk Management Digital Transformation Analytics 71

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 75

Data-driven Data Architecture Predictive Modeling Digital Transformation 75

Data Virtualization

JANUARY 20, 2022

Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.

Data Architecture 52

Data Architecture Data Integration Technology Management 52

Data Virtualization

JANUARY 20, 2022

Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.

Data Architecture 52

Data Architecture Data Integration Technology Management 52

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. As a result, users boost pipeline performance while ensuring data security and controls. However, businesses scaling AI face entry barriers.

Cost-Benefit 69

Cost-Benefit Data Integration Data Architecture Manufacturing 69

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. Data Gets Meshier.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. With multiple speaking tracks focusing on technology, networks, and data & AI, industry leaders repeatedly highlighted the hybrid nature of their infrastructure. .

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

Data Virtualization

NOVEMBER 11, 2021

In the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data.

Data Warehouse 52

Data Warehouse Data Architecture Technology IT 52

DataKitchen

DECEMBER 30, 2020

Full disclosure: some images have been edited to remove ads or to shorten the scrolling in this blog post. DBTA’s 100 Companies That Matter Most in Data. DataKitchen and its DataKitchen DataOps platform have been attracting attention in the emerging realm of data operations or “DataOps.”.

Testing 241

Testing Big Data Statistics Manufacturing 241

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data Governance 108

Data Governance Data-driven Strategy Data Architecture 108

IBM Big Data Hub

JUNE 18, 2019

In my last blog , I stressed the need for a modern data architecture (MDA) to underpin the next generation of the cognitive enterprise , fully harness data using the latest technologies, and sustain a

Data Strategy 87

Data Strategy Strategy Data Architecture Enterprise 87

IBM Big Data Hub

APRIL 11, 2023

Our organization is ready to assist companies in becoming data-driven and addressing compliance. Data and AI governance’s role A proper technology mix can be crucial to an effective data and AI governance strategy, with a modern data architecture such as data fabric being a key component.

Strategy 90

Strategy Data Architecture Data-driven Testing 90